An application of ICA to DS-CDMA detection

This paper presents the application of the theory and algorithms of Independent Component Analysis (ICA) to solve the symbol estimation problem of the multi users in a Direct-Sequence Code Division Multiple Access (DS-CDMA) communication system. The main focus is on blind separation of convolved CDMA mixture and the improvement of the downlink symbol estimation. A combined scheme of ICA-SUD (Single User Detection) detector has been simulated. The simulation demonstrated that ICA-SUD gave the lower error rate comparing to the conventional SUD receiver and pure ICA detector with training sequences.